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io.kestra.plugin.kafka.Produce Maven / Gradle / Ivy
package io.kestra.plugin.kafka;
import io.kestra.core.models.annotations.Example;
import io.kestra.core.models.annotations.Plugin;
import io.kestra.core.models.annotations.PluginProperty;
import io.kestra.core.models.executions.metrics.Counter;
import io.kestra.core.models.tasks.RunnableTask;
import io.kestra.core.runners.RunContext;
import io.kestra.core.serializers.FileSerde;
import io.kestra.core.utils.IdUtils;
import io.kestra.plugin.kafka.serdes.SerdeType;
import lombok.AccessLevel;
import lombok.Builder;
import lombok.EqualsAndHashCode;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.ToString;
import lombok.experimental.SuperBuilder;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericRecord;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.header.Header;
import org.apache.kafka.common.header.internals.RecordHeader;
import org.apache.kafka.common.serialization.Serializer;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.URI;
import java.nio.charset.StandardCharsets;
import java.time.Instant;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.stream.Collectors;
import jakarta.validation.constraints.NotNull;
import reactor.core.publisher.Flux;
import reactor.core.publisher.FluxSink;
import static io.kestra.core.utils.Rethrow.throwFunction;
@SuperBuilder
@ToString
@EqualsAndHashCode
@Getter
@NoArgsConstructor
@io.swagger.v3.oas.annotations.media.Schema(
title = "Send a message to a Kafka topic."
)
@Plugin(
examples = {
@Example(
title = "Read a CSV file, transform it and send it to Kafka.",
full = true,
code = {
"id: send_message_to_kafka",
"namespace: company.team",
"inputs:",
" - id: file",
" type: FILE",
" description: A CSV file with columns: id, username, tweet, and timestamp.",
"",
"tasks:",
" - id: csv_to_ion",
" type: io.kestra.plugin.serdes.csv.CsvToIon",
" from: \"{{ inputs.file }}\"",
"",
" - id: ion_to_avro_schema",
" type: io.kestra.plugin.scripts.nashorn.FileTransform",
" from: \"{{ outputs.csvReader.uri }}\"",
" script: |",
" var result = {",
" \"key\": row.id,",
" \"value\": {",
" \"username\": row.username,",
" \"tweet\": row.tweet",
" },",
" \"timestamp\": row.timestamp,",
" \"headers\": {",
" \"key\": \"value\"",
" }",
" };",
" row = result",
"",
" - id: avro_to_kafka",
" type: io.kestra.plugin.kafka.Produce",
" from: \"{{ outputs.ion_to_avro_schema.uri }}\"",
" keySerializer: STRING",
" properties:",
" bootstrap.servers: localhost:9092",
" serdeProperties:",
" schema.registry.url: http://localhost:8085",
" topic: test_kestra",
" valueAvroSchema: |",
" {\"type\":\"record\",\"name\":\"twitter_schema\",\"namespace\":\"io.kestra.examples\",\"fields\":[{\"name\":\"username\",\"type\":\"string\"},{\"name\":\"tweet\",\"type\":\"string\"}]}",
" valueSerializer: AVRO\n"
}
)
}
)
public class Produce extends AbstractKafkaConnection implements RunnableTask {
@io.swagger.v3.oas.annotations.media.Schema(
title = "Kafka topic to which the message should be sent.",
description = "Could also be passed inside the `from` property using the key `topic`."
)
@PluginProperty(dynamic = true)
private String topic;
@io.swagger.v3.oas.annotations.media.Schema(
title = "The content of the message to be sent to Kafka.",
description = "Can be a Kestra internal storage URI, a map (i.e. a list of key-value pairs) or a list of maps. " +
"The following keys are supported: `key`, `value`, `partition`, `timestamp`, and `headers`.",
anyOf = {String.class, List.class, Map.class}
)
@NotNull
@PluginProperty(dynamic = true)
private Object from;
@io.swagger.v3.oas.annotations.media.Schema(
title = "The serializer used for the key.",
description = "Possible values are: `STRING`, `INTEGER`, `FLOAT`, `DOUBLE`, `LONG`, `SHORT`, `BYTE_ARRAY`, `BYTE_BUFFER`, `BYTES`, `UUID`, `VOID`, `AVRO`, `JSON`."
)
@NotNull
@PluginProperty(dynamic = true)
@Builder.Default
private SerdeType keySerializer = SerdeType.STRING;
@io.swagger.v3.oas.annotations.media.Schema(
title = "The serializer used for the value.",
description = "Possible values are: `STRING`, `INTEGER`, `FLOAT`, `DOUBLE`, `LONG`, `SHORT`, `BYTE_ARRAY`, `BYTE_BUFFER`, `BYTES`, `UUID`, `VOID`, `AVRO`, `JSON`."
)
@NotNull
@PluginProperty(dynamic = true)
@Builder.Default
private SerdeType valueSerializer = SerdeType.STRING;
@io.swagger.v3.oas.annotations.media.Schema(
title = "Avro Schema if the key is set to `AVRO` type."
)
@PluginProperty(dynamic = true)
private String keyAvroSchema;
@io.swagger.v3.oas.annotations.media.Schema(
title = "Avro Schema if the value is set to `AVRO` type."
)
@PluginProperty(dynamic = true)
private String valueAvroSchema;
@io.swagger.v3.oas.annotations.media.Schema(
title = "Whether the producer should be transactional."
)
@Builder.Default
@PluginProperty
private boolean transactional = true;
@Builder.Default
@Getter(AccessLevel.NONE)
protected transient List connectionCheckers = new ArrayList<>();
@SuppressWarnings({"unchecked", "rawtypes"})
@Override
public Output run(RunContext runContext) throws Exception {
// ugly hack to force use of Kestra plugins classLoader
Thread.currentThread().setContextClassLoader(this.getClass().getClassLoader());
Properties properties = createProperties(this.properties, runContext);
if (transactional) {
properties.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, IdUtils.create());
}
Properties serdesProperties = createProperties(this.serdeProperties, runContext);
Serializer keySerial = getTypedSerializer(this.keySerializer);
Serializer valSerial = getTypedSerializer(this.valueSerializer);
keySerial.configure(serdesProperties, true);
valSerial.configure(serdesProperties, false);
KafkaProducer producer = null;
try {
producer = new KafkaProducer(properties, keySerial, valSerial);
Integer count = 1;
if (transactional) {
producer.initTransactions();
producer.beginTransaction();
}
if (this.from instanceof String || this.from instanceof List) {
Flux flowable;
Flux resultFlowable;
if (this.from instanceof String) {
URI from = new URI(runContext.render((String) this.from));
try (BufferedReader inputStream = new BufferedReader(new InputStreamReader(runContext.storage().getFile(from)))) {
flowable = Flux.create(FileSerde.reader(inputStream), FluxSink.OverflowStrategy.BUFFER);
resultFlowable = this.buildFlowable(flowable, runContext, producer);
count = resultFlowable
.reduce(Integer::sum)
.blockOptional().orElse(0);
}
} else {
flowable = Flux.fromArray(((List) this.from).toArray());
resultFlowable = this.buildFlowable(flowable, runContext, producer);
count = resultFlowable
.reduce(Integer::sum)
.blockOptional().orElse(0);
}
} else {
producer.send(this.producerRecord(runContext, producer, (Map) this.from));
}
// metrics
runContext.metric(Counter.of("records", count));
return Output.builder()
.messagesCount(count)
.build();
} finally {
if (producer != null) {
if (transactional) {
producer.commitTransaction();
}
producer.flush();
producer.close();
}
}
}
private GenericRecord buildAvroRecord(RunContext runContext, String dataSchema, Map map) throws Exception {
Schema.Parser parser = new Schema.Parser();
Schema schema = parser.parse(runContext.render(dataSchema));
return buildAvroRecord(schema, map);
}
private GenericRecord buildAvroRecord(Schema schema, Map map) {
GenericRecord avroRecord = new GenericData.Record(schema);
for (String k : map.keySet()) {
Object value = map.get(k);
Schema fieldSchema = schema.getField(k).schema();
if (fieldSchema.getType().equals(Schema.Type.RECORD)) {
avroRecord.put(k, buildAvroRecord(fieldSchema, (Map) value));
} else {
avroRecord.put(k, value);
}
}
return avroRecord;
}
@SuppressWarnings("unchecked")
private Flux buildFlowable(Flux flowable, RunContext runContext, KafkaProducer producer) throws Exception {
return flowable
.map(throwFunction(row -> {
producer.send(this.producerRecord(runContext, producer, (Map) row));
return 1;
}));
}
@SuppressWarnings("unchecked")
private ProducerRecord producerRecord(RunContext runContext, KafkaProducer producer, Map map) throws Exception {
Object key;
Object value;
String topic;
map = runContext.render(map);
if (this.keySerializer == SerdeType.AVRO) {
key = buildAvroRecord(runContext, this.keyAvroSchema, (Map) map.get("key"));
} else {
key = map.get("key");
}
if (this.valueSerializer == SerdeType.AVRO) {
value = buildAvroRecord(runContext, this.valueAvroSchema, (Map) map.get("value"));
} else {
value = map.get("value");
}
if (map.containsKey("topic")) {
topic = runContext.render((String) map.get("topic"));
} else {
topic = runContext.render(this.topic);
}
// just to test that connection to brokers works
if (!this.connectionCheckers.contains(topic)) {
this.connectionCheckers.add(topic);
producer.partitionsFor(topic);
}
return new ProducerRecord<>(
runContext.render(topic),
(Integer) map.get("partition"),
this.processTimestamp(map.get("timestamp")),
key,
value,
this.processHeaders(map.get("headers"))
);
}
private Long processTimestamp(Object timestamp) {
if (timestamp == null) {
return null;
}
if (timestamp instanceof Long) {
return (Long) timestamp;
}
if (timestamp instanceof ZonedDateTime) {
return ((ZonedDateTime) timestamp).toInstant().toEpochMilli();
}
if (timestamp instanceof Instant) {
return ((Instant) timestamp).toEpochMilli();
}
if (timestamp instanceof LocalDateTime) {
return ((LocalDateTime) timestamp).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
}
if (timestamp instanceof String) {
try {
return ZonedDateTime.parse((String) timestamp).toInstant().toEpochMilli();
} catch (Exception ignored) {
return Instant.parse((String) timestamp).toEpochMilli();
}
}
throw new IllegalArgumentException("Invalid type of timestamp with type '" + timestamp.getClass() + "'");
}
private Iterable processHeaders(Object headers) {
if (headers == null) {
return null;
}
if (headers instanceof Map) {
return ((Map) headers)
.entrySet()
.stream()
.map(o -> new RecordHeader((String)o.getKey(), ((String)o.getValue()).getBytes(StandardCharsets.UTF_8)))
.collect(Collectors.toList());
}
// a message coming from a Consume task will have headers as a list of Map
if (headers instanceof List) {
return ((List>) headers)
.stream()
.map(map -> map.entrySet().stream().findAny().get()) // there is only one entry
.map(o -> new RecordHeader(o.getKey(), o.getValue().getBytes(StandardCharsets.UTF_8)))
.collect(Collectors.toList());
}
throw new IllegalArgumentException("Invalid type of headers with type '" + headers.getClass() + "'");
}
@Builder
@Getter
public static class Output implements io.kestra.core.models.tasks.Output {
@io.swagger.v3.oas.annotations.media.Schema(
title = "Number of messages sent to a Kafka topic."
)
private final Integer messagesCount;
}
}
